Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

J. M. Smit*, J. H. Krijthe, H. Endeman, A. N. Tintu, Y. B. de Rijke, D. A.M.P.J. Gommers, O. L. Cremer, R. J. Bosman, S. Rigter, E. J. Wils, T. Frenzel, D. A. Dongelmans, R. De Jong, M. A.A. Peters, M. J.A. Kamps, D. Ramnarain, R. Nowitzky, F. G.C.A. Nooteboom, W. De Ruijter, L. C. Urlings-StropE. G.M. Smit, D. J. Mehagnoul-Schipper, T. Dormans, C. P.C. De Jager, S. H.A. Hendriks, S. Achterberg, E. Oostdijk, A. C. Reidinga, B. Festen-Spanjer, G. B. Brunnekreef, A. D. Cornet, W. Van den Tempel, A. D. Boelens, P. Koetsier, J. A. Lens, H. J. Faber, A. karakus, R. Entjes, P. De Jong, T. C.D. Rettig, M. S. Arbous, R. C.A. Lalisang, M. Tonutti, D. P. De Bruin, P. W.G. Elbers, J. Van Bommel, M. J.T. Reinders

*Corresponding author for this work

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Abstract

Background: The COVID-19 pandemic continues to overwhelm intensive care units (ICUs) worldwide, and improved prediction of mortality among COVID-19 patients could assist decision making in the ICU setting. In this work, we report on the development and validation of a dynamic mortality model specifically for critically ill COVID-19 patients and discuss its potential utility in the ICU. Methods: We collected electronic medical record (EMR) data from 3222 ICU admissions with a COVID-19 infection from 25 different ICUs in the Netherlands. We extracted daily observations of each patient and fitted both a linear (logistic regression) and non-linear (random forest) model to predict mortality within 24 h from the moment of prediction. Isotonic regression was used to re-calibrate the predictions of the fitted models. We evaluated the models in a leave-one-ICU-out (LOIO) cross-validation procedure. Results: The logistic regression and random forest model yielded an area under the receiver operating characteristic curve of 0.87 [0.85; 0.88] and 0.86 [0.84; 0.88], respectively. The recalibrated model predictions showed a calibration intercept of −0.04 [−0.12; 0.04] and slope of 0.90 [0.85; 0.95] for logistic regression model and a calibration intercept of −0.19 [−0.27; −0.10] and slope of 0.89 [0.84; 0.94] for the random forest model. Discussion: We presented a model for dynamic mortality prediction, specifically for critically ill COVID-19 patients, which predicts near-term mortality rather than in-ICU mortality. The potential clinical utility of dynamic mortality models such as benchmarking, improving resource allocation and informing family members, as well as the development of models with more causal structure, should be topics for future research.

Original languageEnglish
Article number100071
JournalIntelligence-Based Medicine
Volume6
DOIs
Publication statusPublished - Jan 2022

Bibliographical note

Funding Information:
The Dutch ICU Data Sharing Against COVID-19 Collaborators. From collaborating hospitals having shared data: Julia Koeter, MD, Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands, Roger van Rietschote, Business Intelligence, Haaglanden MC, Den Haag,The Netherlands, M.C. Reuland, MD, Department of Intensive Care Medicine, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands, Laura van Manen, MD, Department of Intensive Care, BovenIJ Ziekenhuis, Amsterdam, The Netherlands, Leon Montenij, MD, PhD, Department of Anesthesiology, Pain Management and Intensive Care, Catharina Ziekenhuis Eindhoven, Eindhoven, The Netherlands, Roy van den Berg, Department of Intensive Care, ETZ Tilburg, Tilburg, The Netherlands, Ellen van Geest, Department of ICMT, Haga Ziekenhuis, Den Haag, The Netherlands, Anisa Hana, MD, PhD, Intensive Care, Laurentius Ziekenhuis, Roermond, The Netherlands, B. van den Bogaard, MD, PhD, ICU, OLVG, Amsterdam, The Netherlands, Prof. Peter Pickkers, Department of Intensive Care Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands, Pim van der Heiden, MD, PhD, Intensive Care, Reinier de Graaf Gasthuis, Delft, The Netherlands, Claudia (C.W.) van Gemeren, MD, Intensive Care, Spaarne Gasthuis, Haarlem en Hoofddorp, The Netherlands, Arend Jan Meinders, MD, Department of Internal Medicine and Intensive Care, St Antonius Hospital, Nieuwegein, The Netherlands, Martha de Bruin, MD, Department of Intensive Care, Franciscus Gasthuis Vlietland, Rotterdam, The Netherlands, Emma Rademaker, MD, MSc, Department of Intensive Care, UMC Utrecht, Utrecht, The Netherlands, Frits H.M. van Osch, PhD, Department of Clinical Epidemiology, VieCuri Medisch Centrum, Venlo, The Netherlands, Martijn de Kruif, MD, PhD, Department of Pulmonology, Zuyderland MC, Heerlen, The Netherlands, Nicolas Schroten, MD, Intensive Care, Albert Schweitzerziekenhuis, Dordrecht, The Netherlands, Klaas Sierk Arnold, MD, Anesthesiology, Antonius Ziekenhuis Sneek, Sneek, The Netherlands, J.W. Fijen, MD, PhD, Department of Intensive Care, Diakonessenhuis Hospital, Utrecht, The Netherland, Jacomar J.M. van Koesveld, MD, ICU, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands, Koen S. Simons, MD, PhD, Department of Intensive Care, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands, Joost Labout, MD, PhD, ICU, Maasstad Ziekenhuis Rotterdam, The Netherlands, Bart van de Gaauw, MD, Martiniziekenhuis, Groningen, The Netherlands, Michael Kuiper, Intensive Care, Medisch Centrum Leeuwarden, Leeuwarden, The Netherlands, Albertus Beishuizen, MD, PhD, Department of Intensive Care, Medisch Spectrum Twente, Enschede, The Netherlands, Dennis Geutjes, Department of Information Technology, Slingeland Ziekenhuis, Doetinchem, The Netherlands, Johan Lutisan, MD, ICU, WZA, Assen, The Netherlands, Bart P. Grady, MD, PhD, Department of Intensive Care, Ziekenhuisgroep Twente, Almelo, The Netherlands, Remko van den Akker, Intensive Care, Adrz, Goes, The Netherlands, Tom A. Rijpstra, MD, Department of Intensive Care, Amphia Ziekenhuis, Breda, The Netherlands, Suat Simsek, MD PhD, Department of Internal Medicine/Endocrinology, Northwest Clinics, Alkmaar, The Netherlands, From collaborating hospitals having signed the data sharing agreement: Daniël Pretorius, MD, Department of Intensive Care Medicine, Hospital St Jansdal, Harderwijk, The Netherlands, Menno Beukema, MD, Department of Intensive Care, Streekziekenhuis Koningin Beatrix, Winterswijk, The Netherlands, Bram Simons, D, Intensive Care, Bravis Ziekenhuis, Bergen op Zoom en Roosendaal, The Netherlands, A.A. Rijkeboer, MD, ICU, Flevoziekenhuis, Almere, The Netherlands, Marcel Aries, MD, PhD, MUMC+, University Maastricht, Maastricht, The Netherlands, Niels C. Gritters van den Oever, MD, Intensive Care, Treant Zorggroep, Emmen, The Netherlands, Martijn van Tellingen, MD, EDIC, Department of Intensive Care Medicine, afdeling Intensive Care, ziekenhuis Tjongerschans, Heerenveen, The Netherlands, Annemieke Dijkstra, MD, Department of Intensive Care Medicine, Het Van Weel Bethesda ziekenhuis, Dirksland, The Netherlands, Rutger van Raalte, Department of Intensive Care, Tergooi hospital, Hilversum, The Netherlands, From the Laboratory for Critical Care Computational Intelligence: Lucas M. Fleuren, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Tariq A. Dam, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Martin E. Haan, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Mark Hoogendoorn, PhD, Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, VU University, Amsterdam, The Netherlands, Armand R.J. Girbes, MD, PhD, EDIC, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Patrick J. Thoral, MD, EDIC, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Luca Roggeveen, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Fuda van Diggelen, MSc, Quantitative Data Analytics Group, Department of Computer Sciences, Faculty of Science, VU University, Amsterdam, The Netherlands, Ali el Hassouni, PhD, Quantitative Data Analytics Group, Department of Computer Sciences, Faculty of Science, VU University, Amsterdam, The Netherlands, David Romero Guzman, PhD, Quantitative Data Analytics Group, Department of Computer Sciences, Faculty of Science, VU University, Amsterdam, The Netherlands, Sandjai Bhulai, PhD, Analytics and Optimization Group, Department of Mathematics, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands, Dagmar M. Ouweneel, PhD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Ronald Driessen, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Jan Peppink, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, H.J. de Grooth, MD, PhD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, G.J. Zijlstra, MD, PhD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, A.J. van Tienhoven, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Evelien van der Heiden, MD, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Jan Jaap Spijkstra, MD, PhD, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Hans van der Spoel, MD, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Angelique de Man, MD, PhD, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Thomas Klausch, PhD, Department of Clinical Epidemiology, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Heder J. de Vries, MD, Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, From Pacmed: Sebastiaan J.J. Vonk, MSc, Pacmed, Amsterdam, The Netherlands, Mattia Fornasa, PhD, Pacmed, Amsterdam, The Netherlands, Tomas Machado, Pacmed, Amsterdam, The Netherlands, Michael de Neree tot Babberich, Pacmed, Amsterdam, The Netherlands, Olivier Thijssens, MSc, Pacmed, Amsterdam, The Netherlands, Lot Wagemakers, Pacmed, Amsterdam, The Netherlands, Hilde G.A. van der Pol, Pacmed, Amsterdam, The Netherlands, Tom Hendriks, Pacmed, Amsterdam, The Netherlands, Julie Berend, Pacmed, Amsterdam, The Netherlands, Virginia Ceni Silva, Pacmed, Amsterdam, The Netherlands, Robert F.J. Kullberg, MD, Pacmed, Amsterdam, The Netherlands, Taco Houwert, MSc, Pacmed, Amsterdam, The Netherlands, Hidde Hovenkamp, MSc, Pacmed, Amsterdam, The Netherlands, Roberto Noorduijn Londono, MSc, Pacmed, Amsterdam, The Netherlands, Davide Quintarelli, MSc, Pacmed, Amsterdam, The Netherlands, Martijn G. Scholtemeijer, MD, Pacmed, Amsterdam, The Netherlands, Aletta A. de Beer, MSc, Pacmed, Amsterdam, The Netherlands, Giovanni Cinà, PhD, Pacmed, Amsterdam, The Netherlands, Willem E. Herter, BSc, Pacmed, Amsterdam, The Netherlands, Adam Izdebski, Pacmed, Amsterdam, The Netherlands, From RCCnet: Leo Heunks, MD, PhD, Department of Intensive Care Medicine, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands, Nicole Juffermans, MD, PhD, ICU, OLVG, Amsterdam, The Netherlands, Arjen J.C. Slooter, MD, PhD, Department of Intensive Care Medicine, UMC Utrecht, Utrecht University, Utrecht, the Netherlands, From other collaborating partners: Martijn Beudel, MD, PhD, Department of Neurology, Amsterdam UMC, Universiteit van Amsterdam, Amsterdam, The Netherlands.

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